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+ ---
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+ license: mit
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+ title: book_recomender
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+ sdk: gradio
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+ emoji: 🐨
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+ colorFrom: yellow
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+ colorTo: yellow
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+ pinned: true
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+ short_description: book recommnedation
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+ ---
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+ # Content-Based Book Recommender System
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+
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+ This project provides a modular implementation of a content-based book recommendation system using Python. It uses TF-IDF vectorization and cosine similarity to recommend books based on their summaries.
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+
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+ ## Features
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+ - Load and preprocess datasets
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+ - Compute similarity between books based on their summaries
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+ - Generate content-based recommendations
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+
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+ ## Files
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+ - `app.py`: Entry UI for the recommendation system
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+ - `data_loader.py`: Handles data loading and preprocessing
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+ - `recommender.py`: Core recommendation logic
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+ - `requirements.txt`: Lists dependencies
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+
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+ ## Dependencies
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+ - `pandas`: For data manipulation
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+ - `scikit-learn`: For TF-IDF vectorization and cosine similarity calculation
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+
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+ ## Usage
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+ 1. Install dependencies:
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+ ```bash
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+ pip install -r requirements.txt